Multiobjective Feature Selection for Identifying MicroRNA Markers

Author:

Mukhopadhyay AnirbanORCID,Ray SumantaORCID,Maulik UjjwalORCID,Bandyopadhyay SanghamitraORCID

Publisher

Springer Nature Singapore

Reference21 articles.

1. U. Maulik, S. Bandyopadhyay, A. Mukhopadhyay, Multiobjective Genetic Algorithm for Clustering: Application in Data Mining and Bioinformatics (Springer, Berlin, 2011)

2. K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)

3. D.L. Davies, D.W. Bouldin, A cluster separation measure. IEEE Trans. Pattern Anal. Mach. Intell. 1, 224–227 (1979)

4. V. Vapnik, Statistical Learning Theory (Wiley, New York, 1998)

5. M. Mandal, A. Mukhopadhyay, U. Maulik, A genetic algorithm-based clustering approach for selecting non-redundant microrna markers from microarray expression data, in Operations Research and Optimization: FOTA 2016, Kolkata, November 24–26 (Springer, Berlin, 2018), pp. 157–169

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